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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.08861 |
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| _version_ | 1866917758428512256 |
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| author | Jiao, Jin-Long |
| author_facet | Jiao, Jin-Long |
| contents | Non-neutral plasmas can excite many nonlinear plasma phenomena, e.g., collisionless shocks, sheath layers, solitons, and plasma plumes. It is a fundamental issue in fields such as astrophysics, space physics, nuclear fusion, and plasma propulsion. Hybrid PIC methods are currently the most commonly used techniques for simulating non-neutral plasmas. However, the numerical methods for solving hybrid PIC model of non-neutral plasma have some shortcomings. Here, a new method called convolutional hybrid-PIC (conv-HPIC) is proposed to address this problem. This method replaces the Poisson's equation in the hybrid PIC with a convolution equation. The conv-HPIC method avoids iteration, suppresses numerical noise and exhibits high computational efficiency. It is expected to become a powerful tool for exploring nonlinear phenomena in non-neutral plasmas. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_08861 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Convolutional hybrid-PIC modeling of non-neutral plasmas Jiao, Jin-Long Plasma Physics Computational Physics Non-neutral plasmas can excite many nonlinear plasma phenomena, e.g., collisionless shocks, sheath layers, solitons, and plasma plumes. It is a fundamental issue in fields such as astrophysics, space physics, nuclear fusion, and plasma propulsion. Hybrid PIC methods are currently the most commonly used techniques for simulating non-neutral plasmas. However, the numerical methods for solving hybrid PIC model of non-neutral plasma have some shortcomings. Here, a new method called convolutional hybrid-PIC (conv-HPIC) is proposed to address this problem. This method replaces the Poisson's equation in the hybrid PIC with a convolution equation. The conv-HPIC method avoids iteration, suppresses numerical noise and exhibits high computational efficiency. It is expected to become a powerful tool for exploring nonlinear phenomena in non-neutral plasmas. |
| title | Convolutional hybrid-PIC modeling of non-neutral plasmas |
| topic | Plasma Physics Computational Physics |
| url | https://arxiv.org/abs/2404.08861 |